Generative AI vs Conventional AI

AI systems that are rule-based and explicitly designed by humans, often resulting in predictable and explainable outcomes.

AI systems that learn from large datasets to create unique content, often using Machine Learning techniques, and may operate in a less transparent manner.

A subset of AI that enables systems to learn from data patterns without explicit programming.

A type of Machine Learning that uses neural networks to interpret complex data inputs, often resulting in high levels of performance in tasks like image and speech recognition.

A class of machine learning frameworks where two neural networks compete to generate new data that can mimic real data.

AI models capable of understanding and generating human-like text based on learned patterns from extensive text data.